From 18e4625302d5dee6088393dfe090ed1d8e3f0a1c Mon Sep 17 00:00:00 2001 From: edwardkong <33737404+edwardkong@users.noreply.github.com> Date: Wed, 19 Aug 2020 09:16:41 -0400 Subject: [PATCH] Backport PR #35776: Changed 'int' type to 'integer' in to_numeric docstring --- pandas/core/arrays/sparse/array.py | 2 +- pandas/core/tools/numeric.py | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/pandas/core/arrays/sparse/array.py b/pandas/core/arrays/sparse/array.py index d8db196e4b92f..1531f7b292365 100644 --- a/pandas/core/arrays/sparse/array.py +++ b/pandas/core/arrays/sparse/array.py @@ -234,7 +234,7 @@ class SparseArray(PandasObject, ExtensionArray, ExtensionOpsMixin): 3. ``data.dtype.fill_value`` if `fill_value` is None and `dtype` is not a ``SparseDtype`` and `data` is a ``SparseArray``. - kind : {'int', 'block'}, default 'int' + kind : {'integer', 'block'}, default 'integer' The type of storage for sparse locations. * 'block': Stores a `block` and `block_length` for each diff --git a/pandas/core/tools/numeric.py b/pandas/core/tools/numeric.py index 41548931f17f8..cff4695603d06 100644 --- a/pandas/core/tools/numeric.py +++ b/pandas/core/tools/numeric.py @@ -40,13 +40,13 @@ def to_numeric(arg, errors="raise", downcast=None): - If 'raise', then invalid parsing will raise an exception. - If 'coerce', then invalid parsing will be set as NaN. - If 'ignore', then invalid parsing will return the input. - downcast : {'int', 'signed', 'unsigned', 'float'}, default None + downcast : {'integer', 'signed', 'unsigned', 'float'}, default None If not None, and if the data has been successfully cast to a numerical dtype (or if the data was numeric to begin with), downcast that resulting data to the smallest numerical dtype possible according to the following rules: - - 'int' or 'signed': smallest signed int dtype (min.: np.int8) + - 'integer' or 'signed': smallest signed int dtype (min.: np.int8) - 'unsigned': smallest unsigned int dtype (min.: np.uint8) - 'float': smallest float dtype (min.: np.float32)